Which one of the below statements is incorrect?
Global Average Pooling (GAP) technique is used in both CAM and Grad-CAM.
The purpose of GAP is to find an importance score for every feature map, which represents how much that feature map contributes to generate the explanation.
For both CAM and Grad-CAM, explanation can be generated with respect to any layer of a CNN.
For every pixel in the feature map, Grad-CAM++ assigns different weightage, whereas Grad-CAM gives the same weightage.
Which one of the following statements is false?
In a max pooling layer, the unit that gets selected (maximum entry) in forward propagation gets all the gradient during backpropagation.
Residual blocks are used in ResNets to avoid the vanishing gradient problem.
Feature maps of initial layers of a CNN capture more abstract concepts than the feature maps of final layers.
Dilated convolution increases the receptive field size when compared to the standard convolution operator.
Match the following:
1→ v, 2→ iv, 3→ ii, 4 → i
1→ i, 2→ iv, 3 → iii, 4→ ii
1→ i, 2→ v, 3 → iii, 4→ iv
1→ ii, 2→ iii, 3 → i, 4 →iv
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The IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 2 paper sat on 4 Aug 2024, in the May 2024 term: 29 questions for 48 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Deep Learning for Computer Vision Quiz 2 4 Aug 2024 at a glance |
|---|---|
| Term | May 2024 term |
| Subject | Deep Learning for Computer Vision |
| Course code | BSDA5006 |
| Questions | 29 |
| Marks | 48 |
| Duration | 120 min |
| MCQ | 16 |
| Numerical | 9 |
| Written | 1 |
| MSQ | 3 |
| Official paper | IIT M DEGREE AN EXAM QDB2 4 Aug 2024 |
| Negative marking | No negative marking. |
| Updated |
